Research map / Probabilistic and scientific modeling / Molecules and proteins
Tranception: Protein Fitness Prediction with Autoregressive Transformers and Inference-time Retrieval
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add inference-time retrieval of homologous sequences (ablation) | Tranception · ProteinGym substitution benchmark, all MSA depths | Spearman: 0.406 -> 0.451 | Helped |
| Add inference-time retrieval of homologous sequences (ablation) | Tranception · ProteinGym indel benchmark | Spearman: 0.430 -> 0.463 | Helped |
| Use Tranception's grouped, multi-kernel attention instead of GPT2 attention (ablation) | Tranception S · ProteinGym substitution benchmark, validation set | Spearman: 0.324 -> 0.344 | Helped |
| Use Tranception's grouped, multi-kernel attention instead of Primer attention (ablation) | Tranception S · ProteinGym substitution benchmark, validation set | Spearman: 0.314 -> 0.344 | Helped |
| Use Grouped ALiBi instead of learned position embeddings (ablation) | Tranception · ProteinGym substitution benchmark, full set | Spearman: 0.333 -> 0.335 | Helped |
| Train on UniRef100 rather than UniRef90 (ablation) | Tranception S · ProteinGym substitution benchmark, full set | Spearman: 0.275 -> 0.335 | Helped |
| Train on UniRef100 rather than UniRef50 (ablation) | Tranception S · ProteinGym substitution benchmark, full set | Spearman: 0.247 -> 0.335 | Helped |
| Scale from the small to the large Tranception model (ablation) | Tranception · ProteinGym substitution benchmark, full set | Spearman: 0.335 -> 0.404 | Helped |
| Average scores from forward and reversed sequence traversal (ablation) | Tranception L · ProteinGym substitution benchmark, full set | Spearman: 0.376 -> 0.401 | Helped |
| Increase retrieval weight from 0.0 to 0.6 (ablation) | Tranception L · ProteinGym substitution benchmark, validation set | Spearman: 0.399 -> 0.452 | Helped |
| Use retrieval-only scoring at covered positions instead of mixing retrieval with autoregressive scoring (ablation) | Tranception L · ProteinGym substitution benchmark, validation set | Spearman: 0.452 -> 0.397 | Hurt |
Closest papers by meaning
- Steering Generative Models with Experimental Data for Protein Fitness Optimization (NeurIPS 2025 · similarity 0.90)
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- A Variational Perspective on Generative Protein Fitness Optimization (ICML 2025 · similarity 0.88)
- Training Compute-Optimal Protein Language Models (NeurIPS 2024 · similarity 0.88)
- DePLM: Denoising Protein Language Models for Property Optimization (NeurIPS 2024 · similarity 0.88)
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